Did you think about the salary of a data scientist at google? Google demands higher numbers of data scientists, unlike other companies with higher offering salaries and benefits as well. In this article, we will take a closer look at what a data scientist can expect as salary including factors such as experience, job responsibility, and location.
Google data scientist salary
Google data scientist can expect a higher salary including factors such as location, level of seniority, and job responsibilities. On average data scientists at Google get salaries between $ 110k to $
200k annually with a median of $150 k including stocks, bonuses, base salary, health insurance, and retirement plans. Whereas in India it ranges around $ 12k to $ 100k per annum with a median of $ 44k per annum. Many companies including Google give bonuses to their employees. they also offer stocks to their employees. Google is a data-driven company and you could face many challenges in this job. Overall it would be a challenging and rewarding way for you.
Factors affecting the salary of data scientist
Location
The salary of a data scientist in the USA is more than that of a data scientist in India or any other country due to the high demand for data science skills in the USA. The cost of living also affects the salary as salaries in San Francisco and New York offer higher salaries than in other locations, an average data scientist in San Francisco, New York, or California makes good money. One of the major factors behind higher salaries in these places is because of cost of living in these places is higher than in other
Experience
The salary of data scientists also varies because the experience they have is more demanding or their command skill is in high demand. It’s a major factor because if you are experienced you can immediately start the work. On the other hand, if you are inexperienced it will take time for you to understand the work and the company also needs to spend on mentoring and some other. Many experienced data scientists get $ 200k to $ 400k easily whereas inexperienced data scientists get $ 80k to $ 100k.
The tool they use
The salary of a data scientist also depends on the tool they use. There are many tools such as python, SQL, and PHP but python is the most demanding among all and most companies are also likely to work on python. for example, a data scientist with expertise in Machine learning can easily make between $120 k $ 180 k or they can also make even more than that.
Industry
It also varies on the industry because of demand. Companies like Google, and Facebook give higher salaries than government companies or some others. It is important to note that a data scientist job in industries such as finance, healthcare, and technology tends to give a higher salary than manufacturing and retail due to the higher demand for employees. The demand for data scientists may vary in different locations.
Qualification
It also depends on the degree of a person. Generally, a person who is an undergraduate gets a lower salary than a person who has a master’s degree or Ph.D.. A Ph.D. degree in data science can easily make $ 110k to $ 165 k whereas a graduate degree holder in data science can make $ 60 k to $ 90 k only. Also, keep in mind it varies in different locations.
Performance and contributions
Google is a company that values its high-performing employees. Their salary also depends on the factors of their performance. The high performers expect to get a higher salary. Employees’ bonuses on their performance.
The conclusion comes out that many factors depend on the salary of data scientists such as qualification, industry, experience, location, and tools they use.
Companies Average salary (in US $)
The average salary of data scientists in different companies in the USA
- Uber – 91,401
- Amazon – 97,923
- Walmart – 287,862
- IBM – 92,216
Data from salary.com
Salary of data scientists in different locations in America
Lowest salary
Average Salary
Highest salary
Experience of less than 1 year
Experience of 3 to 5 years
San Francisco
$81,317
$1,32,777
$216,803
$112,289
$153,002
California
$109,662
$165,059
$248,438
$139,589
$190,200
New York
$71,130
$136,845
$263,279
$115,729
$157,690
San Diego
$80,145
$112,960
$159,213
$95,530
$130,166
Data from: indeed.com
Conclusion
Working at Google as a data scientist gives you a high salary and a competitive work environment with cutting-edge technology. The salary depends on different factors such as Location, experience, qualification, industry, and tools they use. The higher pay in some places is because of the cost of living and high demands. A data scientist in San Francisco, California, or New York can easily make higher earnings than in other places due to high demand and cost of living.
Frequently asked questions (FAQs)
- Do you need to learn all the programming languages?
Ans. No, we don’t, we need to have a good command of any one programming language.
- Which category gives a higher salary to a data scientist?
Ans. Machine learning (ML) and Artificial intelligence (AI) is the category where the salary is highest for data scientists. The people having higher skills in machine learning and artificial intelligence get a higher package.
- Being a data scientist is a high-paying job.
Ans. Yes, it is a high-paying job with very less competition. Also, companies like Google and Facebook give you a good work-life balance and holiday vacation.
- What is the average salary of a data scientist?
The average salary of a data scientist at Google is $ 150 k whereas a senior data scientist can make as much as $ 280k annually.
- Which degree is best for a data scientist?
A Bachelor’s degree in data science, computer science, or in any related field is good to get an entry-level data scientist but to advance in the role you need to have a master’s or Ph.D. degree.
